Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Authors: Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen | Published: 2023-08-22
防御手法
A Review of Adversarial Attacks in Computer Vision
Authors: Yutong Zhang, Yao Li, Yin Li, Zhichang Guo | Published: 2023-08-15
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
Authors: João Vitorino, Isabel Praça, Eva Maia | Published: 2023-08-13
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Authors: Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni | Published: 2023-08-08
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
Authors: Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan | Published: 2023-08-08 | Updated: 2024-04-15
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Authors: Shashank Kotyan | Published: 2023-08-07
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Authors: Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick | Published: 2023-05-29 | Updated: 2023-08-07
COLLIDER: A Robust Training Framework for Backdoor Data
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2022-10-13
PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Intra-Group-based Authentication with DRAM-PUFs Using Machine Learning
Authors: Owen Millwood, Jack Miskelly, Bohao Yang, Prosanta Gope, Elif Kavun, Chenghua Lin | Published: 2022-07-11
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
Authors: Raphael Olivier, Bhiksha Raj | Published: 2022-07-08 | Updated: 2023-08-10